Bio-Mechanical Model of the Brain for a Per-Operative Image-Guided Neuronavigator Compensating for "Brain-Shift" Deformations
Marek Bucki (TIMC - Imag), Claudio Lobos (TIMC - Imag), Yohan Payan, (TIMC - Imag)

TL;DR
This paper introduces a biomechanical model and finite element approach to compensate for brain-shift deformations during neurosurgery, improving the accuracy of intra-operative neuronavigation systems.
Contribution
It presents a novel patient-specific finite element modeling framework that accounts for tissue deformations and surgical modifications to enhance neuronavigation accuracy.
Findings
Effective modeling of brain-shift deformations
Improved intra-operative navigation accuracy
Patient-specific finite element meshes generated
Abstract
In this paper we present a methodology to address the problem of brain tissue deformation referred to as 'brain-shift'. This deformation occurs throughout a neurosurgery intervention and strongly alters the accuracy of the neuronavigation systems used to date in clinical routine which rely solely on pre-operative patient imaging to locate the surgical target, such as a tumour or a functional area. After a general description of the framework of our intra-operative image-guided system, we describe a procedure to generate patient specific finite element meshes of the brain and propose a biomechanical model which can take into account tissue deformations and surgical procedures that modify the brain structure, like tumour or tissue resection.
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Taxonomy
TopicsGlioma Diagnosis and Treatment · Automotive and Human Injury Biomechanics · Medical Image Segmentation Techniques
